期刊
JOURNAL OF EXPERIMENTAL BOTANY
卷 72, 期 4, 页码 1166-1180出版社
OXFORD UNIV PRESS
DOI: 10.1093/jxb/eraa491
关键词
Above- and below-ground functional traits; conventional varieties; intraspecific trait variation; landraces; MAGIC lines; organic farming varieties; root nutrient absorption capacity; wheat variety selection
资金
- French Agence Nationale pour la Recherche (ANR)
- INRAE meta-programme EcoServ
- DIVERSITAS/Future Earth
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Trait-based approaches are not commonly used in studying agroecosystems, however, a study found that trait variability among varieties of common wheat is low for traits under strong selection. For traits not directly selected, the variability among varieties can be high compared to wild plant species. The study also found that artificial selection can alter trait syndromes in plant species.
Although widely used in ecology, trait-based approaches are seldom used to study agroecosystems. In particular, there is a need to evaluate how functional trait variability among varieties of a crop species compares to the variability among wild plant species and how variety selection can modify trait syndromes. Here, we quantified 18 above- and below-ground functional traits for 57 varieties of common wheat representative of different modern selection histories. We compared trait variability among varieties and among Pooideae species, and analyzed the effect of selection histories on trait values and trait syndromes. For traits under strong selection, trait variability among varieties was less than 10% of the variability observed among Pooideae species. However, for traits not directly selected, such as root N uptake capacity, the variability was up to 75% of the variability among Pooideae species. Ammonium absorption capacity by roots was counter-selected for conventional varieties compared with organic varieties and landraces. Artificial selection also altered some trait syndromes classically reported for Pooideae. Identifying traits that have high or low variability among varieties and characterizing the hidden effects of selection on trait values and syndromes will benefit the selection of varieties to be used especially for lower N input agroecosystems.
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